摘要
针对目前汽车悬架设计中存在的问题,提出了一种基于近似模型和遗传算法的高效全局优化设计方法。使用Kriging方法重构目标函数,建立了悬架运动学分析的近似模型;采用了CVT试验设计以确保参数空间中样本点分布的均匀性;在重构出的目标函数基础上采用遗传算法进行寻优。以双横臂式前独立悬架为例,以车轮接地点侧向最大滑移量为优化目标进行了优化设计。结果表明,采用该设计方法可缩短设计周期及降低设计成本。
To solve the problems existing in the design of vehicle suspension,an efficient global optimization design method based on approximation model and genetic algorithm was proposed.The Kriging method was used to reconstruct the objective function,and the kinematics analysis approximation model for suspension was established. The CVT experimental design was used to make sure that the samples chosen were distributed uniformly in the parameter space.Based on the reconstructed objective function,genetic algorithm was utilized to search the optimum solution.Taking a wishbone type independent front suspension for example,an optimization design was carried out with the maximum lateral displacement of wheels on the ground as the objectiveThe results indicate that with the proposed design method,the design cycle can be shortened and cost can be reduced.
出处
《汽车技术》
北大核心
2009年第3期35-38,60,共5页
Automobile Technology
基金
国家高技术研究发展计划863资助项目(2006AA04Z405)
国家自然科学基金资助项目(50275006)
关键词
悬架
优化设计
近似模型
遗传算法
Suspensions,Optimization design,Approximation model,Genetic algorithms